Articles tagged with Rna Sequencing
Researchers from the University of Chicago have developed a high-throughput RNA sequencing strategy to study the activity of the gut microbiome. The new tools analyze transfer RNA, allowing scientists to understand the activity of naturally occurring microbiomes and study their responses to environmental changes.
A team of scientists has developed a new method for detecting specific strains of E. coli using molecular electronics, which could lead to rapid and straightforward detection of pathogens and antimicrobial resistant bacterial strains.
Researchers have developed a more sensitive single-cell RNA sequencing method, mcSCRB-seq, to analyze the functional state of individual cells. This technique provides a molecular fingerprint of each cell's mRNA population, revealing its protein-making capacity and gene regulation.
A team of researchers has identified 40 new subtypes of retinal ganglion cells, shedding light on the molecular differences that distinguish them. The study, published in Nature Communications, provides a detailed census of RGCs and demonstrates the importance of single-cell RNA sequencing in understanding cell type identity.
Researchers have developed a simpler and faster CRISPR method that allows for off-the-shelf genome engineering, reducing the barrier to entry for this powerful technology. The approach targets universal sequences found in gene knockout collections, enabling rapid single nucleotide editing and generating chromosomal mutant collections.
A team of clinical neurologists, molecular biologists, and computer scientists have uncovered the earliest events in motor neuron disease using stem cell technology and RNA sequencing data. They discovered that a protein called SFPQ is lost from the nucleus in diseased motor neurons, leading to their death.
The new software, called Scallop, can reconstruct complete RNA transcripts from fragments of RNA sequences with improved accuracy. This advancement will help scientists better understand the regulation of gene expression.
Researchers Shenglong Zhang and Wenjia Li are developing novel direct RNA sequencing methods to explore potential environmental and biological factors in serious diseases like cancer and diabetes. Their new tool can analyze RNA modifications in human, animal, and bacterial cells.
A new technique called CITE-seq enables simultaneous measurement of transcriptomes and proteins on thousands of single cells, offering a major breakthrough in cell typing and disease research. The tool has the potential to characterize tumor heterogeneity and develop new immunotherapeutic approaches.
Researchers created a new tool that analyzes RNA sequencing data using topology, providing insights into cellular differentiation and development. The approach identifies connections between cellular states and genes active during development, offering potential discoveries in understanding cell identity and guiding cellular development.
A new computational method called Salmon can improve the accuracy of gene expression analyses by correcting for technical biases. This is particularly important for applications such as cancer diagnosis and disease subtyping, where gene expression plays a critical role.
Researchers at MIT have developed a new portable technology called Seq-Well, which enables rapid analysis of large numbers of cells for single-cell RNA sequencing. This breakthrough allows scientists to easily identify different cell types found in tissue samples, facilitating the study of immune cell responses and cancer treatment.
A new program called CrispRGold helps scientists identify the most effective and specific RNA sequences for CRISPR-Cas9 system. This allows for efficient inactivation of genes in primary cells, enabling researchers to discover new genes involved in immune cell regulation.
The new RNA ligase, KOD1Rnl, has been developed by Brown University researchers to enable high-temperature reactions and improve template specificity. It is the most active in the presence of certain RNA structures, making it useful for RNA sequencing and detection.
MAPseq successfully demonstrates a revolutionary new way of mapping the brain at individual neuron resolution. By using RNA sequencing, researchers can rapidly and inexpensively trace the long-range projections of thousands of neurons in a single experiment.
A new analytical tool for detecting double-stranded RNA (dsRNA) has been developed, exhibiting sequence-selective fluorescence upon binding. This probe offers a significant improvement over conventional methods by allowing single-base pair resolution and preferential binding to dsRNA over dsDNA.
Researchers at UT Austin developed an enzyme that accurately proofreads RNA for the first time, increasing precision in genetic research and potentially improving medicine. The new discovery may enhance diagnoses made based on genomic information, leading to more accurate medical outcomes.
A new system allows scientists to image RNA inside living cells, monitor its activity and even control it. The modular components enable easy performance of a wide variety of RNA manipulations.
Biologist Anthony Gitter is using a $900,000 NSF CAREER award to develop new methods for analyzing complex biological data. He hopes to create more accurate models of gene and protein interactions by mapping out dynamic processes like the immune response.
Researchers at TGen highlight the advantages of using RNA sequencing in disease detection and management, including its potential for non-invasive diagnosis and guiding treatment selection. The analysis reveals the promise of RNA-based measurements for broad application across diverse areas of human health.
Researchers at ETH Zurich have developed a new genetic method that enables the recording of a vast range of antibodies in an individual with high precision. This breakthrough can be used for vaccine development and early disease detection, offering significant advantages over previous antibody detection techniques.
Researchers found that symmetrical RNA structures are harder to design, contradicting conventional thinking. The study uses data from over 100,000 players of the Eterna online game to develop a new rating scale for RNA-design difficulty.
Researchers have successfully sequenced the most complicated gene known using the MinION nanopore sequencer, demonstrating a new technology that can quickly and affordably analyze complex gene expressions.
Researchers at Rockefeller University identified a protein that recognizes a chemical instruction tag on RNA molecules. This 'reader' molecule determines the fate of RNA by recognizing m6A tags, influencing gene expression and splicing processes.
BioWardrobe, a user-friendly platform, enables researchers to analyze large transcriptomic and epigenomic datasets without programming expertise. The platform was developed to bridge the gap between data and knowledge, facilitating research on basic biology and disease.
Researchers at Harvard University and UC San Diego have developed a new software that predicts the most active guide RNAs for specific gene targets, facilitating faster and more efficient genome engineering experiments. This breakthrough has the potential to accelerate discoveries in gene therapies and basic genetics research.
Researchers have developed a predictive software that can identify the most effective ways to target genes with CRISPR-Cas9. The software hierarchically ranks guide RNA effectiveness based on experimental data from human genomes, speeding up the gene-editing process and improving accuracy.
Researchers developed modified protocols to extract high-quality RNA from diverse plant species, overcoming challenges caused by secondary metabolites. The methods combine TRIzol reagent, TURBO DNA-free kit, and sodium lauroyl sarcosinate (sarkosyl) for improved extraction success.
UCLA researchers have created a powerful new method to identify genetic markers for many diseases, including cancer and schizophrenia. The GIREMI method can accurately detect RNA editing sites, genetic mutations, and single nucleotide polymorphisms, enabling diagnosis and risk prediction for various conditions.
Researchers have developed a new method to sequence Ebola virus genomes, reducing contaminating human RNA from 80% to less than 0.5%. The approach has been proven effective in the rapid sequencing of nearly 100 patient blood samples with a turnaround time of 10 days.
A comprehensive study led by Mayo Clinic in 12 countries validates the accuracy of RNA genomic sequencing techniques and laboratories. The research establishes best practices for laboratories to ensure reproducible results, enabling clinicians to make informed decisions based on genomic data.
Researchers at Carnegie Mellon University and the University of Maryland developed a new method, Sailfish, that dramatically speeds up estimates of gene expression from RNA sequencing data. The method can complete its analysis in a few minutes, with accuracy equal to or exceeding previous methods.
Researchers at the University of Warwick have detected and sequenced an ancient RNA genome of Barley Stripe Mosaic Virus in a 750-year-old barley grain found in modern-day Egypt. The study pushes back the origin of the virus to at least 2,000 years and reveals how intense farming during the Crusades contributed to its spread.
Case Western Reserve University researchers discover that non-specific RNA binding proteins can be specific about where they bind to RNA molecules, seeking out particular sequences. This finding advances understanding of how proteins control gene expression and sheds light on diseases such as cancer and neurodegenerative disorders.
Researchers at Rensselaer Polytechnic Institute have created a computational model that accurately simulates the complex twists of RNA as it folds into a critical hairpin structure. The new model can simulate the folding of three known versions of a tetraloop, accurate to within one ten-billionth of a meter.
A team of researchers has created the first-ever compendium of RNA-binding sequences, which will become a valuable resource for researchers studying human genetics. The study reveals similarities between humans and fruit flies in terms of binding sequences, suggesting that many proteins bind to similar sequences across species.
Researchers identified thousands of species, including bacteria, fungi, and archaea, through DNA and RNA sequencing. The findings suggest the lake once connected to the ocean, with marine and freshwater species present.
Researchers have discovered a novel function of non-coding antisense RNA, which enhances the translation of protein coding mRNAs by increasing association with ribosomes. This finding has significant implications for therapeutic applications and challenges current understanding of non-coding RNAs.
Brown University engineers create a biochip called SMART that can detect influenza by identifying specific RNA sequences and separating them from other biological debris. The device is small, low-cost, and fast, making it potentially useful in first-aid kits.
A new algorithm, R-SAP, transforms complex RNA sequence data into usable content for biologists and clinicians, enabling personalized cancer medicine. The pipeline accurately characterizes gene transcripts in cancer samples and provides information on splice variants, biomarkers, and chimeric RNAs.
Researchers identified 22,688 RNA editing events, with most converting adenosine to inosine. The study suggests a potential connection between RNA editing and miRNA-mediated regulation.
A study published in Science Express reveals that RNA sequences in human cells diverge from DNA sequences, generating proteins with different sequences. The findings suggest unknown cellular processes are acting on RNA to create genetic diversity, which may contribute to differences in disease susceptibility.
Researchers discovered that U1 plays a crucial role in protecting mRNA transcripts from premature termination. By binding to the transcriptome, U1 keeps the cleavage/polyadenylation machinery in check until the RNA polymerase enzyme reaches its finish line.
A new software, Myrna, uses cloud computing to analyze RNA sequencing data at an unprecedented speed and cost-effectiveness. The software calculated differential expression from 1.1 billion reads in under 2 hours for a cost of around $66.
A new technology developed by Stanford University allows scientists to experimentally capture the global snapshot of thousands of RNA molecules in a cell. This breakthrough advances understanding of RNA's complexity and function.
Researchers at Tufts University School of Medicine have discovered an RNA sequence that promotes increased numbers of specific microRNAs, which regulate cell growth and stress response. This finding provides new insights into the links between miRNA expression and disease, including heart disease and cancer.
Scientists at Georgia Institute of Technology developed a new approach using RNA-Seq to comprehensively define the transcriptome of Bacillus anthracis. This technique provides a more detailed view of how bacteria regulate their gene expression, allowing for improved tasks like antibiotic discovery and microbial engineering.
Researchers identified a virus, Israeli Acute Paralysis Virus (IAPV), as a leading candidate in the deaths of tens of billions of bees. The study found that IAPV was only present in collapsed colonies, suggesting a possible causal relationship between infection and Colony Collapse Disorder.
The National Institute of Standards and Technology (NIST) is building a library of well-characterized RNA sequences for use as external controls in gene expression assays. The sequences will be released to the public domain to ensure broad participation.
A University at Buffalo medicinal chemist is working to develop rules for targeting RNA, which could lead to the design of efficient compounds to inhibit specific RNA sequences. This approach has the potential to treat diseases such as cancer and genetic disorders, offering a more targeted alternative to DNA-based treatments.
A global team of RNA scientists will develop a common vocabulary and scientific concepts to facilitate communication and knowledge-sharing. The project aims to integrate RNA sequence and 3D structure databases to advance understanding of cellular growth and development, key to curing hereditary diseases.
The RNA Invader assay directly detects gene expression levels without sample contamination, allowing for accurate quantification of small changes in biologically significant genes. This technology also discriminates between nearly identical RNA sequences, enabling researchers to identify specific targets with consistency.
The RNA Invader assay directly detects gene expression levels from crude cell samples, eliminating costly and time-consuming steps. This technology allows for precise quantification of small changes in biologically significant genes.
Researchers have designed an innovative approach to chemotherapy that utilizes genetic material to selectively destroy cancerous cells. By combining complementary DNA sequences, a prodrug and catalyst can be triggered to release a cytotoxic agent.
Scientists from Max Planck Institute report correlation between impaired RNA editing and epilepsy. Genetic manipulation in mice reveals that correcting the defect can lead to improved brain function and reduced seizures. The study suggests a potential link between human genome sequence and neurological disorders.